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IET Image Processing
In this study, the authors propose a novel methodology for static gesture recognition in a complex background using only depth map from Microsoft's Kinect camera. Four different types of features are extracted and analysed on two public static gesture datasets. The features extracted from the segmented hand are geometrical, local binary patterns, number of fingers (Num) raised in a gesture and distance of hand palm centre from the fingertips and the valley between the fingers. The hand regiondoi:10.1049/iet-ipr.2019.0230 fatcat:b3oh5mxsnjcadotvnlx65tsjum